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Event Detection

Papers

Showing 51100 of 940 papers

TitleStatusHype
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep ModelsCode1
Leveraging LLM and Text-Queried Separation for Noise-Robust Sound Event DetectionCode1
PILOT: Introducing Transformers for Probabilistic Sound Event LocalizationCode1
Post-Processing Independent Evaluation of Sound Event Detection SystemsCode1
RCT: Random Consistency Training for Semi-supervised Sound Event DetectionCode1
RED: Deep Recurrent Neural Networks for Sleep EEG Event DetectionCode1
A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data and Information Retrieval in NLPCode1
Revisiting Deep Audio-Text Retrieval Through the Lens of TransportationCode1
Russian News Clustering and Headline Selection Shared TaskCode1
CORAL: Expert-Curated medical Oncology Reports to Advance Language Model InferenceCode1
Segment-level Metric Learning for Few-shot Bioacoustic Event DetectionCode1
SeisLM: a Foundation Model for Seismic WaveformsCode1
Explainable AI Components for Narrative Map ExtractionCode1
F^3Set: Towards Analyzing Fast, Frequent, and Fine-grained Events from VideosCode1
Enhanced Language Representation with Label Knowledge for Span ExtractionCode1
Effective Pre-Training of Audio Transformers for Sound Event DetectionCode1
Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic RelationCode1
Few-shot bioacoustic event detection at the DCASE 2022 challengeCode1
Couple Learning for semi-supervised sound event detectionCode1
Data Efficient Video Transformer for Violence DetectionCode1
Deep Learning in Latent Space for Video Prediction and CompressionCode1
Diversifying and Expanding Frequency-Adaptive Convolution Kernels for Sound Event DetectionCode1
Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social MediaCode1
End-to-End Neural Event Coreference ResolutionCode1
EventGraph: Event Extraction as Semantic Graph ParsingCode1
EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based VisionCode1
Exploring Performance-Complexity Trade-Offs in Sound Event Detection ModelsCode1
Exploring Text-Queried Sound Event Detection with Audio Source SeparationCode1
Few-shot Event Detection: An Empirical Study and a Unified ViewCode1
Few-Shot Event Detection with Prototypical Amortized Conditional Random FieldCode1
Fine-tune the pretrained ATST model for sound event detectionCode1
Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-supervised Sound Event DetectionCode1
Cloud gap-filling with deep learning for improved grassland monitoringCode1
A New Perspective for Shuttlecock Hitting Event DetectionCode1
A dataset for Audio-Visual Sound Event Detection in MoviesCode1
CLIP meets GamePhysics: Towards bug identification in gameplay videos using zero-shot transfer learningCode1
CNN Architectures for Large-Scale Audio ClassificationCode1
Graph Convolutional Networks for traffic anomalyCode1
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking ApplicationsCode1
Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event DetectionCode1
ACCDOA: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization and DetectionCode1
Anomaly Detection in Video via Self-Supervised and Multi-Task LearningCode1
Improving Event Detection via Open-domain Trigger KnowledgeCode1
Improving weakly supervised sound event detection with self-supervised auxiliary tasksCode1
DCASE 2021 Task 3: Spectrotemporally-aligned Features for Polyphonic Sound Event Localization and DetectionCode1
A Hybrid System of Sound Event Detection Transformer and Frame-wise Model for DCASE 2022 Task 4Code1
ATCON: Attention Consistency for Vision ModelsCode1
MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument AnnotationCode1
Multi-Iteration Multi-Stage Fine-Tuning of Transformers for Sound Event Detection with Heterogeneous DatasetsCode1
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in VideoCode1
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